🤖 AI Chatbot

A lightweight, end-to-end AI chatbot featuring web search, PDF upload, and memory persistence — powered by Phi-3 Mini through Ollama.
Built with FastAPI for the backend and Streamlit for the frontend. Fully containerized with Docker and orchestrated via Docker Compose.

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🚀 Features

• 🧠 Memory – Persistent conversation context stored in SQLite
• 🌐 Web Search – Retrieve up-to-date information
• 📄 PDF Upload – Query content from uploaded documents
• ⚙️ Lightweight Model – Runs Phi-3 Mini locally via Ollama
• 🖥️ Streamlit UI + FastAPI Backend – Clean architecture with modular services
• 🐳 Dockerized – One-command setup using Docker Compose

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🧱 Project Structure

ai-chatbot/
│
├── backend/               # FastAPI backend
│   ├── app
│   ├── Dockerfile
│   └── requirements.txt
│
├── frontend/              # Streamlit frontend
│   ├── app.py
│   ├── Dockerfile
│   └── requirements.txt
│
├── docker-compose.yml
├── README.md
└── .gitignore

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⚙️ Quick Start

1. Prerequisites

• Docker installed
• Ollama installed and running locally

2. Clone and Run

git clone https://github.com/<your-username>/ai-chatbot.git
cd ai-chatbot
docker-compose up --build

3. Access

• Frontend (Streamlit): http://localhost:8501
• Backend (FastAPI docs): http://localhost:8000/docs

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🧠 Environment Variables

Create a .env file (optional):

DB_PATH=./chat_memory.db
OLLAMA_MODEL=phi3:mini

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🧩 Tech Stack

• Frontend: Streamlit
• Backend: FastAPI
• Model: Phi-3 Mini via Ollama
• Database: SQLite
• Containerization: Docker & Docker Compose